{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第三回：布局格式定方圆"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:25.798702Z",
     "start_time": "2020-11-01T10:58:25.319113Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']   #用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False   #用来正常显示负号"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 一、子图\n",
    "\n",
    "### 1. 使用 `plt.subplots` 绘制均匀状态下的子图\n",
    "\n",
    "返回元素分别是画布和子图构成的列表，第一个数字为行，第二个为列\n",
    "\n",
    "`figsize` 参数可以指定整个画布的大小\n",
    "\n",
    "`sharex` 和 `sharey` 分别表示是否共享横轴和纵轴刻度\n",
    "\n",
    "`tight_layout` 函数可以调整子图的相对大小使字符不会重叠"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:26.423289Z",
     "start_time": "2020-11-01T10:58:25.798702Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 5, figsize=(10, 4), sharex=True, sharey=True)\n",
    "# fig, axs = plt.subplots(2, 5, figsize=(10, 4))\n",
    "fig.suptitle('样例1', size=20)\n",
    "for i in range(2):\n",
    "    for j in range(5):\n",
    "        axs[i][j].scatter(np.random.randn(10), np.random.randn(10))\n",
    "        axs[i][j].set_title('第%d行，第%d列'%(i+1,j+1))\n",
    "        axs[i][j].set_xlim(-5,5)\n",
    "        axs[i][j].set_ylim(-5,5)\n",
    "        if i==1: axs[i][j].set_xlabel('横坐标')\n",
    "        if j==0: axs[i][j].set_ylabel('纵坐标')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "除了常规的直角坐标系，也可以通过`projection`方法创建极坐标系下的图表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f85a659c370>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "N = 150\n",
    "r = 2 * np.random.rand(N)\n",
    "theta = 2 * np.pi * np.random.rand(N)\n",
    "area = 200 * r**2\n",
    "colors = theta\n",
    "\n",
    "\n",
    "plt.subplot(projection='polar')\n",
    "plt.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 使用 `GridSpec` 绘制非均匀子图\n",
    "\n",
    "所谓非均匀包含两层含义，第一是指图的比例大小不同但没有跨行或跨列，第二是指图为跨列或跨行状态\n",
    "\n",
    "利用 `add_gridspec` 可以指定相对宽度比例 `width_ratios` 和相对高度比例参数 `height_ratios`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:27.018425Z",
     "start_time": "2020-11-01T10:58:26.425522Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 4))\n",
    "spec = fig.add_gridspec(nrows=2, ncols=5, width_ratios=[1,2,3,4,5], height_ratios=[1,3])\n",
    "fig.suptitle('样例2', size=20)\n",
    "for i in range(2):\n",
    "    for j in range(5):\n",
    "        ax = fig.add_subplot(spec[i, j])\n",
    "        ax.scatter(np.random.randn(10), np.random.randn(10))\n",
    "        ax.set_title('第%d行，第%d列'%(i+1,j+1))\n",
    "        if i==1: ax.set_xlabel('横坐标')\n",
    "        if j==0: ax.set_ylabel('纵坐标')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在上面的例子中出现了 `spec[i, j]` 的用法，事实上通过切片就可以实现子图的合并而达到跨图的共能"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:27.397245Z",
     "start_time": "2020-11-01T10:58:27.020418Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 4))\n",
    "spec = fig.add_gridspec(nrows=2, ncols=6, width_ratios=[2,2.5,3,1,1.5,2], height_ratios=[1,2])\n",
    "fig.suptitle('样例3', size=20)\n",
    "# sub1\n",
    "ax = fig.add_subplot(spec[0, :3])\n",
    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
    "# sub2\n",
    "ax = fig.add_subplot(spec[0, 3:5])\n",
    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
    "# sub3\n",
    "ax = fig.add_subplot(spec[:, 5])\n",
    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
    "# sub4\n",
    "ax = fig.add_subplot(spec[1, 0])\n",
    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
    "# sub5\n",
    "ax = fig.add_subplot(spec[1, 1:5])\n",
    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二、子图上的方法\n",
    "\n",
    "在 `ax` 对象上定义了和 `plt` 类似的图形绘制函数，常用的有： `plot, hist, scatter, bar, barh, pie`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:27.489701Z",
     "start_time": "2020-11-01T10:58:27.398224Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f85a6d17670>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4,3))\n",
    "ax.plot([1,2],[2,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:27.582392Z",
     "start_time": "2020-11-01T10:58:27.490700Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 23.,  50., 131., 211., 241., 199.,  98.,  34.,  10.,   3.]),\n",
       " array([-2.85695332, -2.20557553, -1.55419774, -0.90281995, -0.25144216,\n",
       "         0.39993563,  1.05131342,  1.70269121,  2.354069  ,  3.00544679,\n",
       "         3.65682458]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4,3))\n",
    "ax.hist(np.random.randn(1000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T09:23:21.140175Z",
     "start_time": "2020-11-01T09:23:21.137223Z"
    }
   },
   "source": [
    "常用直线的画法为： `axhline, axvline, axline` （水平、垂直、任意方向）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:27.686055Z",
     "start_time": "2020-11-01T10:58:27.583390Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines._AxLine at 0x7f85a7068c40>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4,3))\n",
    "ax.axhline(0.5,0.2,0.8)\n",
    "ax.axvline(0.5,0.2,1.0)\n",
    "ax.axline([0.3,0.3],[0.7,0.7])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用 `grid` 可以加灰色网格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:27.774748Z",
     "start_time": "2020-11-01T10:58:27.688043Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4,3))\n",
    "# ax.grid(True)\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T09:35:34.166136Z",
     "start_time": "2020-11-01T09:35:34.161109Z"
    }
   },
   "source": [
    "使用 `set_xscale, set_title, set_xlabel` 分别可以设置坐标轴的规度（指对数坐标等）、标题、轴名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:28.239217Z",
     "start_time": "2020-11-01T10:58:27.775747Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 2, figsize=(10, 4))\n",
    "fig.suptitle('大标题', size=20)\n",
    "for j in range(2):\n",
    "    axs[j].plot(list('abcd'), [10**i for i in range(4)])\n",
    "    if j==0:\n",
    "        axs[j].set_yscale('log')\n",
    "        axs[j].set_title('子标题1')\n",
    "        axs[j].set_ylabel('对数坐标')\n",
    "    else:\n",
    "        axs[j].set_title('子标题1')\n",
    "        axs[j].set_ylabel('普通坐标')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "与一般的 `plt` 方法类似， `legend, annotate, arrow, text` 对象也可以进行相应的绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:28.362171Z",
     "start_time": "2020-11-01T10:58:28.240214Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.8, 0.2, '这是中点')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.arrow(0, 0, 1, 1, head_width=0.03, head_length=0.05, facecolor='red', edgecolor='blue')\n",
    "ax.text(x=0, y=0,s='这是一段文字', fontsize=16, rotation=70, rotation_mode='anchor', color='green')\n",
    "ax.annotate('这是中点', xy=(0.5, 0.5), xytext=(0.8, 0.2), arrowprops=dict(facecolor='yellow', edgecolor='black'), fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:28.469816Z",
     "start_time": "2020-11-01T10:58:28.364168Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f85a67425e0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Tx4LNx5weS8RjuRTmxpiCxpilLqybZYypff9jiS8IDvTnpdaVmPFCE/LlzEa/T9cw4PO1JP2q4i6RtEo1zI0xeYApQEgq67oBe6y169w0m/iI6sVCmTWwCX9uVZGFW47TIiaO6WsOqbhLJA1cOTO/AXQB7vqqD2NMXuAD4Iwx5sG7rOlrjEk0xiQmJSWla1jxXoH+fgx4sBxzBzelXIGc/PGb9Tw7eTWHVdwl4pJUw9xam2ytPZfKsqHAN8AEoIcxpsMdtjPRWhturQ0PCwtL37Ti9coVyMU3/RrxZvsqrN53mpYxcUxdsU/FXSKpcNcDoLWBMdbaY8DXQHM3bVd8kJ+f4dkmt4q76pTMw99mbqbLxBXsTjrv9GgiWZa7wnwXUCbl83Bgv5u2Kz6seN4cTO1Vn/c712D7sV9pM2IpY5fs4pqKu0R+J81hbox5yBgz8LZvvwcMNMYsAyKAj90xnIgxhsfDi7Poj5E8VLEA783fziNjlrHpcGpX/kR8i8thbq1tnvJxsbV29G23HbHWtrXWNrHWRllrf3XznOLjCuQKZnz3uozrVofjyVfoOGYZ7y/YxuVrKu4SAb1oSDxMm+qFWRQdwaO1izLmp920HbmUxH2nnR5LxHEKc/E4D+QI4t+P12Rqr/pcuXaTxyes4M1Zm7lwRcVd4rsU5uKxIiqEETs0gmcalWLKilvFXfE79BoG8U0Kc/FoIdkCeLNDVb7p14hsgX70+Phn/vTNes5evOr0aCKZSmEuXiG8VF7mDmrGgAfL8v26w7SIiWfexqNOjyWSaRTm4jWCA/35c6tKzBrYhIK5s9H/87U8/+kaTiRfdno0kQynMBevU7VIKDMHNOGl1pVYvP0ELWLi+CbxoIq7xKspzMUrBfj70b95WeYNbkbFQrn487cb6PHxzxw8fdHp0UQyhMJcvFrZsJxM69uIf3asytr9Z2g1PJ5Plu1VcZd4HYW5eD0/P0P3RqVYMDSCeqXy8ubsLTw+YQW7TuiFyuI9FObiM4rlycEnPesR80RNdiedp+2IBEYv3qniLvEKCnPxKcYYOtUpxsKhkURVLci/Y3fQYbSKu8TzKczFJ4XlysaYrnWY0L0uJ8/fKu56Z56Ku8RzKczFp7WqWohFQyPpXKcY4+N203bEUn7eq+Iu8TwKc/F5oTkCebdzDT57rgFXb9zkiQkreH3GJn69fM3p0URcpjAXSdG0fH5ih0bQq0lpPlu1n1bD4vlp+wmnxxJxicJc5DdyBAXwt/ZV+Pb5xoRkC6Dn5NVET/uFMxdU3CVZm8Jc5A7qlszDnEFNGfRQOWatP0KLmDjmbDiiSgDJshTmIneRLcCf6JYVmf1iU4o8kJ2BX6yj36drOK7iLsmCFOYiqahcODffv9CYV9pUIm5HEi1i4pi2+oDO0iVLUZiLuCDA349+kWWZPySCyoVz89L0jTw9aRUHTqm4S7IGhblIGpTOH8JXfRry1iPVWH/wHK2GxzMpYS83VNwlDlOYi6SRn5/h6YYliR0aQaOy+fjnnC08Nm45O46ruEucozAXSaciD2Rn0jPhjHiyFvtPXaDdyKWM/HEnV6+ruEsyn8Jc5D4YY+hYqyiLoiNpXa0wMQt30GF0AusPnnV6NPExCnMRN8iXMxujnqrNhz3COXPxKo+OXcbbc7dy6aqKuyRzKMxF3CiqSkEWRkfSpV5xJsTvoc2IeFbsPuX0WOIDFOYibpY7OJC3O9Xgi94NuGnhqQ9X8tfvN5Ks4i7JQApzkQzSuFx+FgyJoE+z0nz18wFaxsSzeNtxp8cSL6UwF8lA2YP8ebVdFb57oQmh2QPp9Ukig79ax6nzV5weTbyMwlwkE9Qq/gCzX2zKkBblmbvxKFHD4pm1XsVd4j4uhbkxpqAxZqkL66oZY2LvfywR7xMU4MeQFhWY82IziufNwaAv19FnaiLHzqm4S+5fqmFujMkDTAFCUllngBggyD2jiXinioVy8V3/xrzWrjIJu04SFRPHF6sOcFOVAHIfXDkzvwF0AZJTWdcT+Om+JxLxAf5+ht7NyrBgSATVioby1+830vWjlew7ecHp0cRDpRrm1tpka+25e60xxuQDngb+fY81fY0xicaYxKSkpLRPKuKFSuYL4Ys+DXinU3U2H06m9Yh4Pozfo+IuSTN3PQD6DvCKtfauT6S11k601oZba8PDwsLctFsRz2eM4cn6JVgYHUnTcvn5v7lb6TR2GduPqbhLXOeuMI8E3jXGLAFqGWPectN2RXxGodBgPuwRzqinanPozCUeHrWUYQt3qLhLXJLmMDfGPGSMGfjb71lrK1hrm1trmwO/WGtfc9eAIr7EGEP7mkVYGB1Ju+qFGfHjTh4etZR1B844PZpkcS6HeUpQY61dbK0dndo6EUm/vCFBDH+yNh8/G86vl6/Tadxy/jlnCxevXnd6NMmi9KIhkSzsoUoFiR0aQbcGJZiUsJfWw5eyfNdJp8eSLEhhLpLF5QoO5K1HqvNV34b4Gej60Spenr6Bc5dU3CX/pTAX8RANy+Rj/pAI+kWW4evEg7QcFsfCLSruklsU5iIeJDjQn1faVGbGgCbkyRFEn6mJDPxiLSdV3OXzFOYiHqhGsQeYNbApf4yqQOzm40TFxDFj3WEVd/kwhbmIhwoK8OPFP5Tnh0FNKZU/hCHTfqHXJ6s5cvaS06OJAxTmIh6ufMFcfPt8Y/72cBVW7jlNy2HxfLpyv4q7fIzCXMQL+PsZejUtTezQCGoVf4DXZ2ziyQ9XslfFXT5DYS7iRYrnzcGnz9XnvcdqsPVoMq2HxzM+bjfXb6gSwNspzEW8jDGGJ+oVZ1F0JJEVwnhn3jYeHbucLUdSa7EWT6YwF/FSBXMHM6F7XcZ0rcPRc5foMDqBD2K3c+X6DadHkwygMBfxYsYY2tUozMKhkXSoVYRRi3fRbmQCa/aruMvbKMxFfECekCBinqjFJz3rcenqDTqPX87fZ2/mwhUVd3kLhbmID2lesQALhkbQvWFJJi/bR6vh8SzdqXf+8gYKcxEfkzNbAP/oWI2v+zUiyN+P7pN+5i/frufcRRV3eTKFuYiPql86L3MHN6N/87JMX3uYFsPimL/pmNNjSTopzEV8WHCgPy+1rsTMAU0Iy5mN5z9bw4DP15L0q4q7PI3CXESoVjSUmQOb8OdWFVm49TgtYuKYvuaQirs8iMJcRAAI9PdjwIPlmDuoGeUK5OSP36znmcmrOXTmotOjiQsU5iLyP8oVyMk3/Rrx9w5VSdx3mlbD4pm6Yp+Ku7I4hbmI/I6fn+GZxqVYMCSCOiXz8LeZm+kycQW7k847PZrchcJcRO6qeN4cTO1Vn38/XpMdx8/TZsRSxi7ZxTUVd2U5CnMRuSdjDJ3rFmNhdAQtKhfgvfnbeWTMMjYdPuf0aPIbCnMRcUmBXMGM7VaX8U/X4XjyFTqOWcZ787dx+ZqKu7IChbmIpEnraoX5MTqSTrWLMnbJbtqOXErivtNOj+XzFOYikmahOQJ5//GaTO1VnyvXbvL4hBW8MXMT51Xc5RiFuYikW0SFMGKHRvBMo1JMXbmfVsPiiduh4i4nKMxF5L6EZAvgzQ5V+fb5RgQH+vHMxz/zx6/Xc/biVadH8ykKcxFxi7ol8/LDoGYMfLAcM385TIuYOOZuPOr0WD5DYS4ibhMc6M+fWlVk5sAmFAoN5oXP1/L8p2s4kXzZ6dG8nsJcRNyuapFQZrzQhJdaV2Lx9hO0iInj68SDKu7KQApzEckQAf5+9G9elvmDm1GpUG7+8u0Genz8MwdPq7grI7gU5saYgsaYpfe4vYQxZokxZrExZqIxxrhvRBHxZGXCcvJV34b8s2NV1u4/Q6vh8UxetpcbKu5yq1TD3BiTB5gChNxjWT+gv7X2IaA4UN0944mIN/DzM3RvVIrY6Ejql87L32dv4fHxy9l14lenR/MarpyZ3wC6AMl3W2CtfdVauzXly3zAydvXGGP6GmMSjTGJSUl6HqqILyr6QHYmP1uPYV1qsufkBdqOSGD04p0q7nKDVMPcWptsrXWpUccY0wXYbK09coftTLTWhltrw8PCwtIxqoh4A2MMj9YuxqLoSKKqFuTfsTtoPyqBjYdU3HU/3PYAqDGmDPAnYIi7tiki3it/zmyM6VqHCd3rcvrCVR4Zu4x35qm4K73cEuYp19W/BHq5ehYvIgLQqmohFkZH0rlOMcbH7abNiKWs2nPK6bE8TprD3BjzkDFm4G3ffhkoAYxKeVZLpFumExGfEJo9kHc71+Dz3g24fvMmXSau5PUZm/j18jWnR/MYxokn8YeHh9vExMS033Fyu1sfe/7g3oFEJMu4ePU6H8Tu4ONleymcO5j/e7Q6D1Yq4PRYWYIxZo21NvxOt+lFQyKSpeQICuD1h6swvX9jQrIF0POT1Qyd9gunL6i4614U5iKSJdUpkYc5g5oy6A/lmb3+CFExcczZcESVAHehMBeRLCtbgD/RURWY/WJTiubJzsAv1tH30zUcV3HX7yjMRSTLq1w4N9/1b8xf21YifkcSLWLimLb6gM7Sf0NhLiIeIcDfj74RZVkwJIIqhXPz0vSNdPtoFQdOqbgLFOYi4mFK5Q/hyz4N+dej1dlw6Bwth8fx0dI9Pl/cpTAXEY/j52fo2qAEC6MjaFw2P2/9sJXHxi1nx3HfLe5SmIuIxyocmp1Jz4Qz4slaHDh9kXYjlzJi0U6uXve94i6FuYh4NGMMHWsVZeHQCNpUK8ywRTvoMDqB9QfPOj1aplKYi4hXyJczGyOfqs1HPcI5e/Eaj45dxr/mbuXSVd8o7lKYi4hXaVGlILHRETxZvwQT4/fQekQ8K3Z7f3GXwlxEvE7u4ED+9Wh1vujTAICnPlzJK99tJNmLi7sU5iLitRqXzc/8wRH0jSjDtNUHaBkTz49bjzs9VoZQmIuIV8se5M9f21bmuxeaEJo9kOemJDLoy3WcOn/F6dHcSmEuIj6hVvEHmP1iU4a2qMC8TUeJGhbPzF8Oe00lgMJcRHxGUIAfg1uU54dBzSiRNweDv/qF3lMSOXruktOj3TeFuYj4nAoFczG9f2Nea1eZZbtP0jImni9WHeCmB1cCKMxFxCf5+xl6NytD7JBIqhcL5a/fb6TrRyvZd/KC06Oli8JcRHxaiXw5+Lx3A97pVJ3Nh5NpNTyeifG7uX7DsyoBFOYi4vOMMTxZvwQLoyNpVj6Mf83dxmPjlrPtWLLTo7lMYS4ikqJQaDAf9qjLqKdqc+jMJR4emUDMwh1cuZ71KwEU5iIiv2GMoX3NIiyMjqR9zSKM/HEn7UclsO7AGadHuyeFuYjIHeQNCWJYl1pMfrYev16+Tqdxy/nnnC1cvHrd6dHuSGEuInIPD1YqQOzQCLo1KMGkhL20Gh7Psl0nnR7rdxTmIiKpyBUcyFuPVGda34YE+PnR7aNVvDx9A+cuZZ3iLoW5iIiLGpTJx7zBzegXWYavEw8SFRNH7OZjTo8FKMxFRNIkONCfV9pUZsaAJuQNCaLvp2sY+MVaTjpc3KUwFxFJhxrFbhV3/allBWI3H6dFTBzfrzvkWHGXwlxEJJ0C/f0Y+FB55g5uSpn8IQydtp6en6zm8NnML+5SmIuI3KdyBXLxzfONeaN9FVbtOU3LmDg+Xbk/U4u7FOYiIm7g72fo2aQ0sUMjqF0iD6/P2MSTE1eyJ+l8puxfYS4i4kbF8+bg0+fq817nGmw7lkybEUsZH5fxxV0uhbkxpqAxZuk9bg80xswxxiw3xvRy33giIp7HGMMT4cVZFB1J84phvDNvG4+MXcaWIxlX3JVqmBtj8gBTgJB7LHsRSLTWNgYeNsbkctN8IiIeq0DuYCZ0D2dctzocO3eFDqMTmJSwN0P25cqZ+Q2gC3Cvf1KaA1+nfL4cCL99gTGmrzEm0RiTmJSUlNY5bylU/dZ/IiIepE31wiyKjqBjraKUzJsjQ/YRkNoCa20y3Pq14R5CgMMpnycDBe+wnYnARIDw8PD0PcTb5p103U1ExGkP5AjigydqZtj23fUA6Hkge8rnOd24XRERcYG7QncN0DTl85rAPjdtV0REXJDqZZbbGWMeAqpYa0f/5ttTgLnGmGZAFWCVm+YTEREXuHxmbq1tnvJx8W1BjrV2PxAFLANaWGuz/nssiYh4kTSfmd+NtfYI/31Gi4iIZCI9UCki4gUU5iIiXkBhLiLiBYwTRerGmCRgfzrvnh/Ieu+mmrF0zL5Bx+wb7ueYS1prw+50gyNhfj+MMYnW2t/VBXgzHbNv0DH7how6Zl1mERHxAgpzEREv4IlhPtHpARygY/YNOmbfkCHH7HHXzEVE5Pc88cxcRERuozAXEfECWTrMffG9R1045hLGmCXGmMXGmIkmlXcN8QSpHfNv1lUzxsRmxkwZKQ3HO8sYUzszZspoLvy5LmOM+dEYs8IY83pmzpYRjDGhxph5xpiFxpjvjTFBd1k3KSW/XrvffWbZMPfF9x518Zj7Af2ttQ8BxQGPfh89F4+ZlH+0YoA7/qXwFGk43m7AHmvtukwZLAO5eMwDgdettY2AVsaYO74wxoN0A2KstVHAMaD17QuMMZ0A/5T8KmKMKX8/O8yyYY6b3nvUw6R6zNbaV621W1O+zIfnv3rOlZ8zQE/gp4wfJ8OlerzGmLzAB8AZY8yDmTVYBnLlZ3wKqGyMKcitf7DPZsJcGcZaO9ZauzDlyzDgxB2WNee/+bWY/77BT7q4rQLX3dz13qOexMVjJmVNF2BzSvWwx3LlmI0x+YCngVYp/3ksF3/GQ4FvgAnA28aYXNbaWZkwXoZw8ZjnA4OAMtz6R/t6xk+W8YwxjYA81tqVd7j59vwqdz/7yspn5q7wyfceNcaUAf4EDHF4lMzyDvCKtfaa04NkktrAGGvtMW6duTV3dpxM8QbwrLX2VW79nY5yeJ77lvIb1ijgbo/nuTW/PD38fO69R1OuP34J9LLWnnN6nkwSCbxrjFkC1DLGvOXwPBltF7fOUOHWpcP0ltJ5kiJAcWNMMFAH8OgXwKQ84Pk1t05C7vbzc2t+ZdnLLLfzxfcevcsxvwyUAEal/Nr6hrU2zon5MsKdjtlaW+E3ty+x1t73I/9ZxV1+xu8BHxljXgUuAp0cGS6D3OWY3wCWcOv68hxuXUP2ZM8BdYFXU36OPwGBt/3ZnQEsNcYUAdoADe9nhx7/CtCU/xFNgQU+dKYqIl4g5TftKCA+5bJa+rfl6WEuIiKef81cRERQmIuIeAWFuYiIF1CYi4h4AYW5iIgX+H9xstDSyd1PJAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot([1,2],[2,1],label=\"line1\")\n",
    "ax.plot([1,1],[1,2],label=\"line1\")\n",
    "# ax.legend(loc=1)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "其中，图例的 `loc` 参数如下：\n",
    "\n",
    "|  string   | code  |\n",
    "|  ----  | ----  |\n",
    "| best  | 0 |\n",
    "| upper right  | 1 |\n",
    "| upper left  | 2 |\n",
    "| lower left  | 3 |\n",
    "| lower right  | 4 |\n",
    "| right  | 5 |\n",
    "| center left  | 6 |\n",
    "| center right  | 7 |\n",
    "| lower center  | 8 |\n",
    "| upper center  | 9 |\n",
    "| center  | 10 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 作业\n",
    "\n",
    "### 1. 墨尔本1981年至1990年的每月温度情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:58:28.482772Z",
     "start_time": "2020-11-01T10:58:28.472757Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Temperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1981-01</td>\n",
       "      <td>17.712903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1981-02</td>\n",
       "      <td>17.678571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1981-03</td>\n",
       "      <td>13.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1981-04</td>\n",
       "      <td>12.356667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1981-05</td>\n",
       "      <td>9.490323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Time  Temperature\n",
       "0  1981-01    17.712903\n",
       "1  1981-02    17.678571\n",
       "2  1981-03    13.500000\n",
       "3  1981-04    12.356667\n",
       "4  1981-05     9.490323"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ex1 = pd.read_csv('data/layout_ex1.csv')\n",
    "ex1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-01T10:21:13.743892Z",
     "start_time": "2020-11-01T10:21:13.738905Z"
    }
   },
   "source": [
    "- 请利用数据，画出如下的图：\n",
    "\n",
    "<img src=\"https://s1.ax1x.com/2020/11/01/BwvCse.png\" width=\"800\" align=\"bottom\" />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 5, figsize=(18, 4), sharex=True, sharey=True)\n",
    "year = 1981\n",
    "fig.suptitle('墨尔本1981年至1990年月温度曲线', size=20)\n",
    "for i in range(2):\n",
    "    axes[i, 0].set_ylabel(\"气温\")\n",
    "    for j in range(5):\n",
    "        ax = axes[i, j]\n",
    "        ax.set_title(\"%d年\" % year)\n",
    "        year += 1\n",
    "        data_start = (i * 5 + j) * 12\n",
    "        ax.plot(range(1, 13), ex1.iloc[data_start : data_start + 12]['Temperature'], marker='*')\n",
    "        ax.set_xticks(range(1, 13))\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 画出数据的散点图和边际分布\n",
    "\n",
    "- 用 `np.random.randn(2, 150)` 生成一组二维数据，使用两种非均匀子图的分割方法，做出该数据对应的散点图和边际分布图\n",
    "\n",
    "<img src=\"https://s1.ax1x.com/2020/11/01/B0pEnS.png\" width=\"400\" height=\"400\" align=\"bottom\" />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6K0tYVTSIksARFDnaffCUa4XxMMc1hP1Zu++LIqvQcW3JJYHPblTjlJbu9LjO+5FGWn8e9rpRdiUaoERkFMDTSql/leR1KRi3jt2aevK7oF5vNHHn9KFYpqjCVol3q6LQnFfYffAUfveO7kkHpw5cxL6ag1sGoNd7mcY6lckV2yn/EpviE5GVAP4MwPKkrknhOHXsQSuMz8zWUDvfiG2KKmyVeK+O3u7rTh24U6kht2NFvKRRnJbJG5SmJNegWgC2APh+gtekEOw6/DAVxncfPIX5ng46yj1MYffweHX0dl/321FXQgSTsAE4CKf3RAFcj6LYiQpxRxfogiJVpdSEzeP3AbgPAEZHR9fv3bs3tjZcvHgRK1asiO354xZ3++uNJs7NXcaV1jyWDAkU2jXchgtDGB1Z6rnZ08mJ2hxGS8A5mz59rDISuq1h21dvNFE73+gLogAwJILKyhKWtH7Q9d6fOnvB9giLJUOCeYWu57KeI2j7rDaGeb1+Pztu7wkQzWvyw+S/3Q0bNhxVSo3rfC9LHekxJklCKbUHwB4AGB8fVxMTE7Fdq1qtIs7nj1uc7Z+ZrWHH8ycWjmVvD7CjKnXz4PQh3Lv6Ar50ovtjVymXcP/WiYja2sKuzTeHOgbe2t9kV6W8972v2yRWWO8XECwJJE5BPjud74mdSrmAw1P+ntPpGl7vVdb/dskfYwIUmSHORfHtG9ei9g9Hux4LM0Xl1NYHnjyObfuOBQoKfpM+vLLv0g5IUbDekxunDtgmM4Zdj2KmIDlhgKIucS6KT66rYObs/0WlXPC8U9a5o/Y6BqNWb2D708exc/9JzDWafc8T1aZXr6CWl821YbMknTBTkJwkHqDs1p/IHHF1QpZyqeg5HaR7R61zDEazpVBfOBup83kAf5UegsrT6ED3BGK/mClITlhJgrqkkSnWS7cKg11bvVjPk0RVdCCZ6utB+a0QEVel8zTS5ykbOMVHXfxUeIhr6kr3jrq3rUMLSQ1Bn9/ra0GYOjoIOrKLo9J5XCMzyj4GKOqj0wnFOXXlZ5qxt2ir1zEYnc8TdCrTT2COe8o0KJPWfcKUvaJ8Y4CiQOLO9gtyR93b0ZWXFXHx8rtdJ+F2Pk+Qa9QbzYXUdr3AbOrowLSRHc+gIjsMUBRI3Nl+QDSFZL1GO9bXRkpFiADb9h1brNRud71zc5cX9l1d5RaYTR0dmDqyI+rEAEWBxN3BRXVH7fY81te8pis7g9znxuZhl1vkFphNHB2YOrIj6pSLAJWXfSZZkqcOzivTTnddK6rPYRKf5yhHdvz78y+t0kFZk/kAlad9JlmS5tRV1B2i23Sl2xEcllKxgA03rYrkcxjF51n3/YliZMe/P4pT5gOUSdlIgyaOqSuvzjWODtFtutJt6k4Wvmf7xrWRfQ7DPk/SAYN/fxSnzG/UNS0biYLTOdI8jo2vbpuTndbUKuUSXpvetBicnCpa+P0chv08J70xmH9/FKfMByjuQjdbb7UCq+yQHZ3ONY4O0a1Cglvw6gyoTvx+DsN+npMOGPz7ozhlPkCZUJqH7NmNiN54+xJu+8I3bMvq6HSucXWIk+sqODx1F16b3oTDU3d1VSPvDF7DhaHF4OW1PjUk/k8eDvt59jpg0O0GIYio//78ll+ifMv8GpSp+0xMllTWlVMHXm80fRV/7ex008ge7Fxrq1armFj4b69RyXyAI+l0Ps9uvz+798dSqzdQO9/CzGwtst931NmAg5JwkbUDC8MIk7GY+QAFmLnPxFROncBLp9/GC6+8FWnQcuvA7RbSdYKPSTckOtXUd+4/6bttbp9nr0688/2xa9u8UpEnMET198eEC+qViwBF+pw6ga8dObN4GF1Ud65eHbhb8VfrRNvONajOaTcTOiy30Yql3mhGOmLR6cTjPmAwLky4oF6ZX4Mif5z+2Hs7sigyv7yOw3Aq/mr9XOfBg73ZfCaw1qfKpaLr90WZQecU8P1U9TA1gSFr7aX4MUANGD9/7GHvXK0OfOWy/g7cbd0o6VTpMAvzk+sqOPbwR/GpO97n+D1RjgAKYj+db/e43Q3CkIixCURMeKJeWlN8IvKTSqm/jbsx5G1mtoZzZy/g01MHAq2/2E1LCfpHUMDVYBYmqaKz3l07wFxAxeM5/E712LUP0D/TKoqF+Ucmx3Dg77+L85f6s+SiHAE4nXdl97jdel1lZSvW6dGwn5Xe9jLhabDprkH9hoj8IYD9AL6qlPrHGNtEDqzO9DM3zUNhKFBnatcJbLhpFZ45WrNNToiqA7cCVbVaxf1bJ1y/108hWrv2bX/qOCDt49692hzlwvzDH78l9gzDisN7U3EIgr3rddVqNbK29Iris2LK+iKZQWuKTyn1KwA+DOAfALwgIs+LyN2xtoz6RDX11bvn55HJMceNqmkcWe5nqseufc15tRicLE5tjnJhfnJdBfesryxOtxVEcM/6aDtck6fBTD7enrJJd4rvdgBbAXwQwFML/9sD4Ln4mka94j6Dya4jTSOzys9Uj5922H1vkGNDnKaxZmZreOZobXG6raUUnjlaw/j7rzNy31HUmIVHUdOd4vtNAP8dwL9Xqv3XJyKfj61VZCuNQ+bSOtjOKWD2BoeRUlG7OoJdm/1u/HU7UTepfTxRToNFuWmbhyBS1HSn+H5ZKXXICk4Ljx0Skcfiaxr1SmN6J+5r+smgsyud9M6Vd1Ec6s5gKw4JioXux5zabFeH75717alNuza1T9S1D0JxjCDiLP2jU5zXD5OnHymbwm7U5ScvQdad7blTL3cd9RDn9E6cU0p2i+rb9h3DZ/cds830s11vaimsXFbEsuElgbL4rNdofc1rof9Ky/lE3ahHEA/NnIhlA7Ul6hGfydOPlE2sJJExk+sqqM69itemJxK9ZlK1+jo7495g5TQSqV9qYva3P9r3eJA2e3XawwX7SQerMw6Txdc53VZeVrRNWY9yyjCuyvAMSBQVbtSl1Hh1hL0jhxGHig1RrnF4ddqjI0sdp7Hcju3w0jvdZhecvNroFys3kOnCjqACV6klchol2Gk0W1haHEKpWIh1n5HXNF25VMSuzTc7TmMFHUHoHC1vGRLBjQE3andKozI8kR+BApSIvFcp9V0A90bcHhogDkURHNUvNfHolttiXePQrajuVm08SPv8jIp6axRabfKLa0ZkOt19UI8A+DiAFQsPvQPgx5RS5+JqGOXfnM/D84YWNsAenrorjuYAaHfaL51+G0+8+AZaSvnabBumkoLO0R12wq5Jcc2ITKY7groTwIcA/AmAX0O75BFRKG6dsl19wJZS2P70cezcfxJzjSZGSkWItEdWUd3922223fd3b+Drx7+LuUYTU7fNo+5wfEaYrLjtG9di275jtjURvXAjLOWVnym+W9EeQf0YgFXxNIcGidN02q7NYwCAB5483lcEtdlSixtzOzfouo1W/Ey7OaWyW9e60pp3vE6YrDhr5NaZVq4riqSGpE5ZJvJDN0D9AoAKgP8I4HMAHomtRZSapDsprzWQbfuO+Xo+u9GK32k3nWDiNCoKuw/qkckxjL//OsfTcO10ro8F/f3pvkcMYpQ03UoS31VKvaSUOqaU+iUAL8XcLkpY1FUFohBkZNAbYJym3XbuPxnqmrV6o6/CQxSVFKxCvq9Pb3JNke1NYw/z+9Mp8mri54PyTytAichXex56PIa2UIrSqETt1el5nchrpzfAOG7uXTiKvdf2jWv7yiTZkYX2drYbQOB9UHacgmWlXFqsRN85Cg36+9OZmmSlckqD6xSfiLwPwI0AbhGRDy88vByAv/QrMl4alai9kgp6pwDLy4q4ePldNOftV2nsRituiRiOyQsei0B2CRxWuzuDRlh+9imF+f3pTE2yUnm0Xp/exD2kGrxGUDcCmACwcuH/NwAYA/ArsbaKEpdGVQGdTq/z7KrZ3/4odv/8rYsjlHKpiJXLiq6jFbfpNWuazhpJzczW8MCTxx0DoMXpq1F31n4qU4T5/elMTbLqBKXBdQSllPprAH8tIu9XSn0xoTZRCtKoKhAkqSDIvp0hAZxijjU999Lpt7vSy50MF4YcT7WNqsJDJ93XG/b3d82SocWfXbmsiIc/fkvXdVl1gtLg50TdRSLy3niaQ2kJU0cuqCSO8tjx7AnH4GRpNFv42otnPEsNlYoFjI4sdVwbaymVWgJB0N+f9R51puxfbs5H9vxe4jxOhLJPt5LE7wD4BHoqScTVKEpHnFUFrBTle1dfwIPTh7DhplV44ZW30Gi2UBBBSynbIzbC8FPfzqvsUrlUxM5P3ILy3Kuooz0qcxPHQYVegvz+/Gwujvrz4WcLQO/nhynug0G3mvlPoV1J4m/RDkxvxdainOEdYne2HtDuiB4/cmbx3y2luiqCRyWqNaFP3fE+HHv4o5hcV0G90cT2p4/jnSvegS9I6aKkpZn8oJsZaPf5YYr7YGAliRiFqc2WJzojmaAjDrfNo0Hr2/V64ZWr92Pn5i6j2dK7ryuI+YlaaR7Trhscoz5Y0QRrpg4EqWqVG7pZjLojqF8AcAXtShK/CVaS0MK9I226d+N+79qD7KPyu6+qt13tE3X1eCVchBXF6DzNY9p1MwOZ4j64dPZBWb638P8PxdecfOEfVpvuSMbvXbvffVTWCOsLf3HS9hwqp2y/znY5nahrpxLjKMTpOPinXjqDI//v/GIl9k/evnqxfNKb9UZfsds0j9zQzQxMc5RH6fKa4vvCwv//SwDXAjiO9j6oHwAYj7FducA/rDa7jqhXkLt23X1Udp3t9qePo9m6Go2KBcGWn1iNZ47WXDvM0ZGlKBaaXT9rJ85RyMxszbaobKPZwuHvvL3475ZSePzIGfyPF88sBl67YrdpHbmhGxyZ4j64vPZBfRoAROQ5AB9SSs2LSAHAN5JoXNbxD6utsyMCLqBSLi1m8YW5aw96A+DWMXaONuzaVS4Vsfvnbu4ahZVLRXzs1veGfj26dh885aviee+o0KT1G53gaPf56X1/Wcg2n3STJJYB2CQiJwDcvPBv8sATS6+yOqJqtYr7t04Eeo7eTmjDTas8Rzxe7dF93Lr+ubMXMP1Xx3BDudS3mTUpUUwRZ22a2e3zw2Sk/NINUFsB/AcAnwHwOoBP+b2QiPwp2lOFf6mUGpgkC55YGt7MbA0795/sO//pmaM13LO+ksjIxeoEP3PTPBSGUu0Eo8hOzNM0cx6z/KhNK0AppV5HOzh1EZHHlFK/6fXzIrIZQEEp9SER+YqIfEAp9arv1tLA6b077tRotvDCK2/FegS8xaRO0G7qWAD86D9bjle/907f9/cmf+RtmpnJSPmln5JkT/dTPgHgyYX/PoT2xl8iT157qJLqhJLqBHVSx+3KDj265TY897kJfOqO9y3uvxoSoFQcwry6uidruDAUewmrpLGQbX6JCrFXQ0QOKaU8b18Xpvf+k1LquIh8FMCPK6Wme77nPgD3AcDo6Oj6vXv3Bm6Xl4sXL2LFihXe32ioLLffb9tP1OZcvz5cGMLa668N1JZ6o4lzc5dxpTWP4cIQRkeWolwq2n7vqbMXcKU1j9EScK4jJoW5vl17aucbmO/4mxQRDAnQmleebfR6riERVFYIyj8UTXt1+Xmfvdh9fhxf68pS4OsEsWHDhqNKKa3sZm7U1duo66eSRBgXAVi3MytgM3JTSu0BsAcAxsfH1cTERGyNqVariPP545bl9vtt+4PThxzXW0rFAnZtHsNEgNHAzGwNO54/gUZzCNbHsVRsYdfmm21HF/XFNagf4EsnlkRy/d7kmd1HTqFWd99I7NbGTndOH7J9rh23zWPyExO+2xuU3/fZi9Pnh1l8+RQ2QOnWcjmK9rTeEbRLJg1WKQUKzGkPld2REH74XVOyHjt36mUIEKoTdMo60ylsq7vu5TT16KcSRmd7g3b+Sa3dMRkpn3Srmf+kUupvbb50r+Z1ZgB8S0RuAPAzAO7Q/DkacHGl6gdZU5pcV0F17lW8Nj0R6tpOnbZV1d2LddCi2/vglOnnpxIGED6FmwkMFIbuCOo3ROQPAewH8FWl1D8CgFLqnM4PK6W+LyITAO4G8HtKKfeFBcoFuzvvcoDn0bk7tq5Vqzdsj+/obUt5WdG23FGYhXXdkYZT52xVddcZSXkFCqdN4qMjw7ovB0D4ERCrqVAYumnmvyIiRQCbAFRF5DSAaaXUc7oXUkqdx9VMPso5pzvvXR/yX6zV77WsUUjvabmdbSkOCYoF6SpZFCb92s9Iw6nTtgKqFWi9NJotfOEvTtoGRaeRZ3nO3+4Op2BqjeK8gjGrqVAYulN8t6Nd0fyDAPYBeBrthAbtAEWDxenO+9xc/6gljmt1XvOJF9/omzprziuUS0Usv2ZJJFOHTq/3s/uOYffBU13P7dZpW8HlxqkDWuWMzl9qLo4Ee4Oi3cizWvUXoJyCqeDqeVduwZjVVCgM3Sm+gwDeBvAtADcAuB/A5+NqFGVflIv0Qa9lcVrXmWs0cezhj4a+/sxszXXEYxc4Xjr99mLgLIjgnvXdwSRotYioExCcNgXbFap1SzBhQKIgdFdMXwHwEbTPg3oYwE6l1KHYWkWZ57TG4HeR3o21qdVrpOF0cKBdG/2esWRN7XnpPAdsZraGZ47WFgNnSyk8c7TWdS27c5p0RZmAYLcp2On9ZuIDRU13BHUWwDcBnMbVG6j468tQZjndeV+71P/OBrvkAwBaqdmlYgH3rK9oFZUNkrGmc1qwxerAdRIP7KbG1vxwCd/+ztueATnqBITeEdCdDnvTmPhAUdPtLYoAxpRSl+JsDKUvqg2P1jRW57lFCu01k5mOA/N02tMbNLbtO4ZScQiNpv10oV0Wn9cxGkCwjDU/owarA9dNvbYLDF7BKYkEBCY+UFJ0A9QogL8TkcW0cp0SR2QunVFJ2IrdL7zyVl+HOq+UrzUSu6ChAFxyCE4C4Du7fnbx39aUnfU6H91ym+9g4xaE3JIIOl97ZwceNPXaKxgWRBKps8fEB0qKbpo5T8/NEaeprGuWDIXe9d8Z+KJYq/C7rtHZyfudsgsSOJxGE27HgOiMQOxuINwSJ6yyS0kFCSY+UBKSqsVHBnGaynJaS9ENEm5HY3Tys1bhJ5utt5P3mrJ7aOZEVybdHf9iJb534XLfUfBuU1dBRhNeP+MUWO3W0oD2ib47P3FL188nNbphDTyKEwPUAAozKnGjkzAwJO4dfq/tG9di275jtqOxlcuKWDbsvI/JbcruoZkTePzImcXHWkrh8Hfe7v9mjc1IQUYTbj/jFFhfeOUt7No85hoQkjxdlifZBqdbzXvQMUANIKdRycplRVxuzgde/HYLfFaB1crKlq/Oyy7ZwmqXXbHYzjv6IYfadjeUS3jixTe0rt+c914z67xmeVkRSrX3WAUdUbgFViuwWdfc1rMROMmDFcNciyMv0hHdphTKDLs9NlaH37vnxc+6htNIq1Iu4bXpTTg8dZft+Txee48emRzDo1tu82yXdUdfW1j/sgtOVsDVKcpqcQu8vdc8f6mJeqMJhasjCq+9VL28DuDrvWbndZIszhr0Wm7tJ+rEEdQA8loDCXonGyT92CmN/LP7jnWlietMozlNMRZEMK9U1+t84Mnj2kHKbYrTa1qzc0ShO2rweh/dRi5JFmcNeq0kR3mUbQxQAyqOLKwgCQNOaeRAdEc7zCuF16Y3dT32ydtXd61BWYYEmO+IW14BVmdk8ma94Wu9xu593HDTqsUpPbfsyEe33JbYHqWg+6F4BAfpYoCiSPkNfF6dUlxHOzwyOQYAXVl8n7x9tdaGXp1r9n5PkAMSnbL63K6T5B4lnWxEu6/xCI7BOPI9ikQQBihKlU4Hr3tn7feO/pHJscVA1clPZ+504m/v9bftO2b7dZ3XppMd2fk6k9yj5HQttxEjK1GQLiZJZJzf4qam0SmKqntnbVfYNO7Nq73XXLmsuJgIUhBZHCWVl/UnhwB6r80rOzKJ1+mX14gx6d8TZRNHUBmWxD6U3mmaDTetcqyQEIT1szv3n0S90X9WlN876zQqHPRe0+73EuaARLcDDg9PmVlxzGudiZUoSAdHUBnmdpcaBbt04MePnIklPfgH7/bX1iuXiondWUc5ErX7vTTnFZYPLwk0anDaFmDylJjTiNHpcSI7HEFlWNzZUDprH1GkBztdZ/k1SxILTr0jnu1PH8fO/Scx12hipFSECFC/1MTUbfOoe1Rjd3r/gx6Q2JmMUKs3uqYOO79uEqcMfh/bz4g4gsoyrw2dYekGurABMe20Y9sRT0stbritN9rHqiu0TwT2GjXG8XuZXFdZHElZ+7dM3uA6ZzNd6/Y4kR0GqAyLe+pHt0MN0vF2TqkN+Tjx1uu5OqfndKft/AZCr2nUuH4vcU/pRinumycaDJziy7C497x4pVADwTre3ik1t5JEfp/LGlW8dPrtrsrfbgkkfiqmW9yCWly/l7hHmlHWx2MqOUWBASrj4syGcqpoYGXxWWszvQVLvfgpSdTJrgN1GlVYG3B7H7dbL9MJxL28RgJx/F7i3OAadUYoDzWkKDBAkasgGzG9OiE/JYm8rucUVJzq7NlduzcJwUtaI4E4RyVx1MdjKjmFxQBF2ryOstDt0IKMBJw60ILDkRpOjztdw+pM75w+ZH+E+8IZ7sOFodQ2lcY1KpmZrTkGZtbHozQxQJEWnXUjQK9DCzIScHrellIoFQu2R673nj6rM9pwapsVlKrVKiZSHBVEPSqxfq9OBi2pgedUmYUBasDp/kHq7IkC9Dq0ICMBt2oK1lpU73P5LfwatG2m6/wd9+7jcvu9DlpSA08INg8D1ADz2qDa2TnrjIzcOjSrk7x39QU8OH0I2zeu1S7TMzNbwzs/eNfxek6jiqCjDd2fy8Lddu/v2NrHBcDz9zpo9fF4TpV5GKAGmNsGVaD7DtJpBOOVeQf0dJKr3e9M7Wr/9U7VAe2irHZHvidF96DFtHl1um4jUxPan6S0N4xTPwaoAWF3t6/zh2d1Zl5rM9Y17pw+1Dei0L0ztev0v3bkjO0BfcuGkymD5MTroEWnkaiXqEdlXp0u9ytdxXOqzMMANQCc5tbLy4o4f8m79Myb9YbW4XTbnzqO5vzVMjzbnzq++PNOz9vJrdP3+tmkeV3faSTqFmziWAPx6nTzuOYWFIO1eRigBoDTCOaaJUN9GXB2Ojszp45r5/6Ti8HJ0pxX2Ln/pPadqZ+gE9VdbdARi9/qEzprGXGsgeh0utyv1MZgbR4GqJxz2+My12ji0S23Lf5BlpcVcfHyu12BRvcO0u4sJ+vxnZ+4RevO1KnTX9iC5KtNOoEnzIglSPUJrwAcxRqI3evetXls8bE093FlAYO1WVgsNse89riMlIpdndnDH78Fu3/+1shPOu08QRUuz+tUZHXrHe/z1Sa7c6zsqn6HKb7a+5rsy9128xr1hS2w6vS6AeDw1F14bXoT1l5/LTtgygyOoHLMbY9LcUjwzpV3+9ZJdm0eC3RK60qH9ayVCwfUWXem1WoV92+dsH2OqKZYdKfKwo5YOu+2O0cuQUeiYddA4k6TzkJaPeULA1SOuXW0K5Yu6QsoYTqzhz9+C7Y/fbzrSPNiQfDwx2/x9TxRTLHoBp6osrbsOm7Af6ANG6DjTJPmJlZKAwNUjrntcYm6MzNpgVk38ESRteXUcQcdiYYJ0EECbphKItzEGtzr05t0ZoUHHtegcszt4Ly4Tn211joOT92VWsele2Bg5zpS0DU3kw4R9HtQou5aHeB841KrN7QOhSQKgiOoHPMa1eR1z4ef0VzviMVps7ETk6oP+B3F+hkVuWVYWo9z2o+ixgCVc2516oB0puSSWGwPMlXmttnY6blMqz7g53X7Ca5206G96f8Ap/0oWgxQAyyNPR/1RhM7no9+sT2KoOe22djpubJcfcBPcLW7oeEZUhQ3BihK1Lm5y2g0u5c+w951+80wcwpmbpuNnZiUHOKX3+Dae0PjdLgja9d5WzN1wKmKV6pMS95ggKJEXWnNwy43J8xdt5+1FLdgFlTa1QfsKsC/8MpbWutvQPDgmuXRI2UDAxQlarhgnzga5q7bz1qKWzDz2mxsIruA+/iRM4tf9xpNhgmuWR49UjYwQFFgQe7cR0eWolRsRXrX7WctxS2YPbrltkg2GydJ56TjOBMX0h49Ur4lsg9KREZF5FtJXIuSYbeH5vEjZzz31JRLxa4adgWRxQ406B4aP/t/3PZ/Ta6rYPfPddci3P1ztxrdAetOjTJxgbIo9hGUiKwE8GcAlsd9LUpOmDt3u31YYbL5/Ew1ea2bRDUi8MoqjCrVXvfYDyYuUBaJUvEmk4jID6G9ZeLPlVITLt93H4D7AGB0dHT93r17Y2vTxYsXsWLFitieP24mtP9EbU77e8cqI4v/bbX91NkLCwkT3YYLQ1h7/bWRtNFJvdHEubnLuNKax3BhCKMjS1Eu6a0z6bz39UYTtfMNzHf8bQ2JoLKyhHKp6Pl1v6+l97ns/PDyYdxQLhnx2QnD5PZv2LDhqFJqXOd7mcWnJ/IRlIj8MYDOuZVDSqkviri/bqXUHgB7AGB8fFxNTExE3bRF1WoVcTx/UtWe42q/Hw86pBj3WrmsiNmO6uVW2z89dQDKZoZZALw2PdH3uCl03vt2+nWh7/FKuYDDUxOeX/er83M3JIKWTbCqlK/B4akJIz47YWS9/eRP5AFKKfXrUT9nFiRV7XlmtoZzZy/g01MHUs2a0j2wz+nG3rQKDFHyyiqMo1Cv9Rm4cepApM9NlCYWi41IEkVDrSB4pTXvWdwzTtYde6PZQsFjZDznsMnVb2HTLHEKskMimJmtxVKo1+s58hD4afAwQEUkiaKhJlTO7szeA4CWUigVC457hZw6xigqiZvKLvgC7fdqx7MnsOGmVbEF57CB3yqWy+rkZILE9kG5JUjkQRJTVmGCYFTrY05B8polQygVC772N+V1D431mh548njfelCj2cILr7yFXZvHYlmvDLN5Nug0NU/apbhwo25Ekij7EjQIRrk+5hQM640m/mDLbeyoFkyuq2DbvmO2X3uz3og1ODs9t9f6ZZBDCXnSLsWJASoiSZR9sYIg8O7iYzpBMMrTUN3OBQIQ6BRZP7J0t25SIogVSD5z0zwUhmwDSZAROk/apTgxQEUo7ikr67nPnXoZAmh30FGuj23fuBbb9h3rOwdIAbF3Slm7W3c6Q6lWb+BHdvwlWkqhklCQ1QkkQQKqSQc2Uv4wSSJjJtdVsPb6a/uOVXdb3I4ys2tyXaUvOFni7pRMSBLxozMRBOg+4M9am0oqE1MnkARJsGDWIMWJASoH7OridXZ6Uad0V1LqlOK8W48re21yXQWHp+5CpVxyDOx+g2yQtuoEkiCZlXneLkDp4xRfDnhN30S9PpbWOUBxrekkMXXoFUR1g2zQtuquX/qdpuaRGxQnBqgc0BlZRLk+llanFFdgTGKh36uoq26QDdrWoOuXOvK6XYDSxwCVA2lki6XRKcUVGJNY6HcrDWUlTtw5fcjz9YRp6+S6Cqpzrxpd65CoEwNUDgzS0dtxBEbdAB+mDmJncK3VGygsFHXtTJzQma7zezPSl5Z/q3vtRCKTMEkiB9IuG2RyeRydtuks9EdRB9FKmHh9ehO+s+tnbRMnvBIm/CQl2CXP1M43jPr9ELnhCCqj7Dasxr1J1qkdOov2VnvvXX0BD2pMZSXZNp2pwzjWqYJM1/mZ5rRr87xS3ERLmcEAlUH1RhM7njdjw6pOx90VKFYn116ntn3hL07anvIb19qPk6Brh7rTnE5tq9XboygGqfSYdjCgqTjFl0Hn5i4bs2FVp+NOa4OtU9vOX2r6nuYKuyHVbqoxrj1E1rXcjmxN45gWIr8YoDLI7qh0IJ3yMjodd1rlcNyCh9/gGCaYOG2kBhD52mHvcShOTK7AQWThFF8GDRfs7yvSKC+jk0GYVtHU7RvX4rMuFcX9CLOPyG0E2VmuKgp213LCenlkOgaoDBodWYpSsWVEWrnOon1aafCT6yrYuf8k6jan+gatQxhkH1HcJZo633uvkVMn1ssj0zFAZVC5VMSuzTcbU17Ga9G+M4gBFxKr4A0AOz9xS+p7xJIs0dS5r6pT7+N53SeXFWumDrgtEfqS54QLBqiMylp5Gau91WoV92+dSPS6QLq14pIs0aRgH4zuWV/BC6+8haRvEIjCYICi3Es7mCddokmhnXBhd63OG4QsHf5Ig4kBiigBSZZoqpRLnpu2s3b4Iw0mppkTZVSY1PesHf5Ig4kjqAHCKZ18CTN1yKPaKQsYoAYEp3TyKejUYVp704j84BTfgOCUDnXiUe2UBRxBDQhO6STvoZkTeOLFN9BSCgURfPL21Xhkcszx+5OcgjUh/Z7ICwPUgOCUTrIemjmBx4+cWfx3S6nFf9sFqTSmYNNOvyfywim+AcEpnWQ98eIbvh7nFCxRP46gBgSndJLVUvaVbJwe5xQsUT8GqAHCKZ3kFERsg1FB7MumcQqWqB+n+Ihi8MnbV/t6nFOwRP04giLySSfbzkqE0M3i4xQsUT8GKCIf6o0mdjyvl233yOSYa1p5r94gZSVIMEjRoOIUH5EP5+Yux5Zt53Q0/MxsLfRzE2URAxSRD1da87aPR5Ftx1Rzom4MUEQ+DBfs/2SiyLZjqjlRN65BEfkwOrIUpWIrliPkg6Sas0I95RlHUEQ+lEtF7No8hkq5BEH7cMBdm8ciCQp+U825ZkV5xxEUkU9xbXj2m2rutmbFURTlAQMUkUH8BD+dNau+KcBbW7Y/Q2QiBiiijPJas7KrkF4738LMbI0jrJS9Pr3JvuYVdeEaFFFGea1Z2U0BzivFtHXKDI6giDLKa82KaeuUdQxQRBnmtmbFCumUdZziI8opuynAIRFWSKfM4AiKKKfspgArK1u+EyTsNgP3Pi83CFMcYg9QIjICYO/CtS4C2KKUuhL3dYmofwqwWq36+nm7TMDtTx0HBGi21OJjThXdyd6aqQP2Ryv3GPRsvySm+LYC+LJS6m4AZwH8dALXpJyYma3hzulDuHHqAO6cPsQqCQmzywRszqvF4GRhUVuKQ+wjKKXUVzr+uQrA9+K+JuWD3d0779ST5Sfjj9mBFDVRSmukqf+EIn8MoHMV9pBS6osi8kEAjyilPuLwc/cBuA8ARkdH1+/duzfSdnW6ePEiVqxYEdvzxy3L7ffT9lNnL9gebzFcGMLa66+NumlasvzeA/7b7/Q7sJPE78Xk93/Dhg1HlVLjOt/LKT49kY+glFK/3vuYiFwH4I8A3OPyc3sA7AGA8fFxNTExEXXTFlWrVcT5/HHLcvv9tP3TUwegbGahBcBr03rPEbUsv/eA//bXe0axAFAckq41KKC9QXjX5jFMxDyyzfr7T/4kkSQxDOBJADuUUqfjvh7lB/fxpM9pM7DdY5x2paglkWb+qwDWA3hQRB4E8JhSal8C16WM275xbd/de1RnL0Ut6XOZkrye02ZgBiSKWxJJEo8BeCzu61D++D1+Ii1JJ3MweYQGBTfqktHiOnspSkmfy8RzoGhQsNQRUUhJF2UNcj1rP9mJ2hz3k1FmMEARheSUtBFXMoff63UeDQ/waHjKDgYoopC8zmVK+3puU4JEJuMaFFFISSdz+L0ez4WirGKAIopA0skcfq7H/WSUVZziI8q5pKcgiaLCERRRznVOCQIXUDF0PxlRLwYoogFgTQlWq1Xcv3Ui7eYQaeEUHxERGYkjKCKKRNL1CCn/GKByjp0GJYH1ASkOnOLLsc4KAgqsIEDx4WZgigMDVI6x06CkcDMwxYFTfDnGToOSws3A/gz6Ue66OILKsaSLmNLg4mZgigMDVI6x06CkTK6rYNfmMVTKJQiASrmEXZvHmCBBoXCKL8eyciIt5UMWDpekbGGAyjl2GkSUVZziIyIiIzFAERGRkRigiIjISAxQRERkJAYoIiIyEgMUEREZiQGKiIiMxABFRERGYoAiIiIjiVIq7Tb0EZG3AJyO8RLvAfBPMT5/3LLc/iy3HWD702Zy+9+vlFqVdiPyxMgAFTcReUkpNZ52O4LKcvuz3HaA7U9b1ttP/nCKj4iIjMQARURERhrUALUn7QaElOX2Z7ntANuftqy3n3wYyDUoIiIy36COoIiIyHADGaBE5DoRuVtE3pN2W4iIyN7ABSgReS+AAwB+EsALIpKpfQsiMiIi/0tEnhOR/ykiw2m3yS8RGRWRb6XdDr9E5E9F5Nsi8lDabQkiq+87kI/PPfk3cAEKwC0AtimlfhfAQQA/nnJ7/NoK4MtKqbsBnAXw0ym3xxcRWQngzwAsT7stfojIZgAFpdSHANwgIh9Iu01+ZPV975Dpzz0FM3ABSin1TaXUERH5MNqjqP+Tdpv8UEp9RSn13MI/VwH4XprtCaAFYAuA76fdEJ8mADy58N+HAPxUek0JJKvvO4BcfO4pgCVpNyBuIvLHANZ2PHQIwO+g/cfaRPsP11h27VdKfVFEPghgpVLqSEpN0+LS/rSaFNRyALWF//4+gB9NsS2+KaW+DwAZfN+7ZOVzT9HIfYBSSv26w5d+S0R+B8DHAOxLsEm+2LVfRK4D8EcA7km+Rf64vP9ZcxFAaeG/V2AAZx/SlqXPPUVj4P7IROTzIvJLC/8sA6in1xr/FhaHnwSwQykVZ0Fd6nYUV6f1bgXwenpNGTz83A+mgQtQaO9E/0UR+RsABQDfSLk9fv0qgPUAHhSRqohsSbtBA2IG7c/NlwH8G7QzQSk5/NwPIFaSINK0kAl3N4C/UUqdTbs9RHnHAEVEREYaxCk+IiLKAAYoIiIyEgMUEREZiQGKiIiMxABFuSUi/01E1rh8fcLt60SULgYoGmQTANak3AYicsAARUYSkaMLxyv8uYi8KCJzC3XYICL/VUTucPi5GxeOxPgmgJsXHrthYXPnX4vI71rPAeCXAfyBiHzN6fscrrFVRL4kIitE5GURuTbaV09EAPdBkaFE5B8A/ASAEwD+NYBvAvg6gAcAfEspdbvDzz2G9jEqX1/42Z9Bu/r1NQCOAfi2UurHFr53J4CqUqq68O+fsPs+h+v8FdrFY7+hlDK2liNRluW+WCxl1jml1EUROY12xflvAfgggE0A9rv83I0A/l4p9a6IHFt47F0AD6Nd8NVttKP7fQDwJwD+M4B/6/F9RBQQp/goK+YBPAfg9wF81eX7TgO4WUQKAMYWHvscgF0Afg1A55RBA8AyAJD2ORRO39dFRJYA+HcL7fitAK+FiDQwQFGWPAXgjFLqjMv37AbwENrB7MrCY18H8F/QHnldEpHKwuPPAJgSkSMAfsTl+3p9duF7dwD4lIj888CviIgccQ2KMkFEPgLg9wA8qJT6q7TbQ0TxY4CiTBKR6wHs7Xn4VJQHJCZxDSJyxgBFRERG4hoUEREZiQGKiIiMxABFRERGYoAiIiIj/X9DCoZdX0DpTwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = np.random.randn(2, 150)\n",
    "fig = plt.figure(figsize=(6, 6))\n",
    "spec = fig.add_gridspec(nrows=5, ncols=5, width_ratios=[1]*5, height_ratios=[1] * 5)\n",
    "\n",
    "ax = fig.add_subplot(spec[1:5, :4])\n",
    "ax.grid()\n",
    "ax.set_xlabel('my_data_x')\n",
    "ax.set_ylabel('my_data_y')\n",
    "ax.scatter(data[0], data[1])\n",
    "\n",
    "ax2 = fig.add_subplot(spec[:1, :4])\n",
    "# ax2.get_xaxis().set_visible(False)\n",
    "# ax2.get_yaxis().set_visible(False)\n",
    "ax2.axis('off')\n",
    "# bins = np.arange(-2.8, 3.7, 0.5)\n",
    "# ax.hist(data[0], bins, alpha=0.5, rwidth=0.8)\n",
    "ax2.hist(data[0], rwidth=0.8) # hist默认的bin=10\n",
    "\n",
    "ax3 = fig.add_subplot(spec[1:5, 4:])\n",
    "ax3.axis('off')\n",
    "ax3.hist(data[1], rwidth=0.8, orientation='horizontal')\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  }
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